A Techno-Economic Analysis of the Integration of Solar Power Plants into the Tartus Power System (Syrian Arab Republic)
Purpose: To conduct a techno-economic analysis of integrating solar power plants into the power system of the city of Tartus to enhance its sustainability and efficiency. In the context of energy scarcity and energy supply instability caused by warfare and destruction of energy infrastructure, the introduction of renewable energy sources (RES), in particular solar energy is seen as a promising solution. Methods: This study involves analyzing data on the current state of the city’s power system, modelling the integration of the solar plants into the existing power grid, and assessing the economic feasibility of solar power plant implementation. The evaluation uses technical parameters of solar panels along with economic indicators related to installation and operational costs. Results: Integrating solar energy plants could significantly improve power reliability in Tartus, reduce fuel costs, and lower CO₂ emissions. The proposed solutions aim at reducing the region’s dependency on centralized electricity supplies and enhancing grid stability. Practical significance: The research results can be used as a basis for the development and implementation of an energy infrastructure modernization programme in Tartus, as well as in other cities in Syria. Implementing solar power plants as part of a distributed power generation strategy presents an effective means of addressing the regional energy crisis and supporting sustainable energy development.
Authors
- M. V. Shevlyugin (ORCID: https://orcid.org/0000-0003-3300-5193)
- Mohammed Radi (ORCID: https://orcid.org/0000-0002-1747-1015)
Institutions
- Russian University of Transport (RU)
Publication Details
- Journal
- Bulletin of scientific research results
- Published
- 2025-03-25
- DOI
- https://doi.org/10.20295/2223-9987-2025-1-201-210
- Citations
- 1
- Primary Topic
- Solar Radiation and Photovoltaics
- Type
- article
- Field-Weighted Citation Impact
- 2.48